shinyExprPortal
shinyExprPortal provides configurable shiny-based web portals to present and explore molecular expression data (transcriptomic and proteomic) and associated phenotypic information for dissemination and analysis.
Key Features:
- Shiny-based portal framework: Implements configurable portals using the 'shiny' framework to present analyses and visualizations.
- Supported data types: Supports transcriptomic and proteomic expression data together with associated phenotypic information.
- Analytical presentations: Presents differential expression analysis, co-expression studies, and pathway analysis.
- Interactive visualizations: Provides dynamic visualizations for exploration of complex datasets and presentation of publication-quality plots.
- Workflow integration: Integrates with existing bioinformatics workflows to load and present analysis results and plots.
Scientific Applications:
- Result dissemination: Dissemination of comprehensive omics analysis results through web-accessible portals that extend beyond static figures.
- Exploratory data analysis: Interactive exploration and interrogation of transcriptomic and proteomic datasets alongside phenotypic metadata.
- Reproducibility and collaboration: Centralized presentation of analyses and plots to support reproducibility and collaborative review of omics studies.
Methodology:
Uses the 'shiny' framework to construct configurable web applications that display differential expression, co-expression, and pathway analysis results and interactive visualizations of transcriptomic and proteomic expression data with associated phenotypic information.
Topics
Details
- License:
- MIT
- Cost:
- Free of charge
- Tool Type:
- library
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- R
- Added:
- 6/18/2024
- Last Updated:
- 6/18/2024
Operations
Data Inputs & Outputs
Publications
Henkin R, Goldmann K, Lewis M, Barnes MR. shinyExprPortal: a configurable ‘shiny’ portal for sharing analysis of molecular expression data. Bioinformatics. 2024;40(4). doi:10.1093/bioinformatics/btae172. PMID:38552327. PMCID:PMC11021805.